Fred H. Reynolds
- Genetics top 2%
- Virus-based gene therapy research 28
- Chronic Lymphocytic Leukemia Research 4
- Virology top 5%
- HIV Research and Treatment 4
- Immunology top 5%
- interferon and immune responses 10
- T-cell and Retrovirus Studies 3
- Molecular Biology top 5%
- Viral Infectious Diseases and Gene Expression in Insects 9
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 12
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- John StephensonJohn GroffenW J Van de VenGeorge J. TodaroUlf R. RappPaula M. PithaG E MarkM D Goldsborough
- Cited by
- GeneticsVirologyImmunology
- Journals
- Nature (4 papers)Science (1 paper)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Fred H. Reynolds
43 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Genetics 829
- Virology 132
- Immunology 498
- Molecular Biology 1.5k
- Animal Science and Zoology 208
Countries citing papers authored by Fred H. Reynolds
This map shows the geographic impact of Fred H. Reynolds's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fred H. Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred H. Reynolds more than expected).
Fields of papers citing papers by Fred H. Reynolds
This network shows the impact of papers produced by Fred H. Reynolds. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fred H. Reynolds. The network helps show where Fred H. Reynolds may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fred H. Reynolds, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Antigen unmasking on formalin‐fixed, paraffin‐embedded tissue sectionsbreakdown → | 1993 | 625 |
| 2 | 1987 | 1 | |
| 3 | 1983 | 32 | |
| 4 | 1983 | 1 | |
| 5 | 1983 | 71 | |
| 6 | 1982 | 94 | |
| 7 | 1982 | 15 | |
| 8 | 1980 | 5 | |
| 9 | 1980 | 1 | |
| 10 | 1980 | 61 | |
| 11 | 1980 | 55 | |
| 12 | 1979 | 2 | |
| 13 | 1979 | 6 | |
| 14 | 1979 | 16 | |
| 15 | 1978 | 38 | |
| 16 | 1978 | 41 | |
| 17 | 1977 | 18 | |
| 18 | 1976 | 108 | |
| 19 | 1975 | 61 | |
| 20 | 1973 | 7 |
About Fred H. Reynolds
Fred H. Reynolds is a scholar working on Animal Science and Zoology, Genetics and Immunology, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (28 papers), Animal Virus Infections Studies (12 papers), interferon and immune responses (10 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), HIV Research and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Genetics (829 citations), Virology (132 citations) and Immunology (498 citations). Fred H. Reynolds has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include John Stephenson, John Groffen, W J Van de Ven, George J. Todaro, Ulf R. Rapp, Paula M. Pitha, G E Mark, M D Goldsborough, Tom I. Bonner and Wim J.M. Van de Ven. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.